The multiple regression equation expresses the outcome variable as an additive combination of several predictor variables. Its general form is: $Y = b_1X_1 + b_2X_2 + b_3X_3 + \dots + b_iX_i$, where $Y$ is the predicted outcome, the $X$ terms are the individual predictor variables, and the corresponding $b$ terms are their regression weights.